Data Modeling Analyst

Job Description

Tarento Technologies is a global technology consulting and services company that helps businesses innovate, scale, and transform digitally. With expertise across digital platforms, cloud, data, and emerging technologies, Tarento delivers end-to-end solutions tailored to client needs. Headquartered in Bangalore with operations across Europe and Asia, Tarento is driven by a commitment to excellence, agility, and long-term value creation. Job Summary: We are seeking a highly analytical and technically skilled Media Mix Modeling (MMM) Specialist with 3-8 years of experience in developing end-to-end econometric models to solve complex business problems in the marketing and advertising domain. The ideal candidate will have a strong foundation in Bayesian statistics, advanced SQL and Python programming skills, and hands-on experience in data processing and model implementation. Key Responsibilities: Design, develop, and implement end-to-end Media Mix Models to evaluate marketing effectiveness and optimize media investments. Apply advanced statistical methods, particularly Bayesian techniques, to build robust and interpretable models. Work with large datasets: extract, clean, transform, and analyze data using SQL and Python. Collaborate with cross-functional teams (marketing, data engineering, business stakeholders) to gather requirements and translate them into analytical solutions. Communicate complex modeling results and insights in a clear, actionable manner to both technical and non-technical audiences. Continuously improve modeling approaches and stay updated with industry trends and emerging methodologies in MMM and advanced analytics. Required Qualifications: 3-8 years of hands-on experience in Media Mix Modeling and marketing analytics. Strong knowledge of statistical techniques, with expertise in Bayesian modeling. Proficient in SQL for data querying and manipulation. Advanced programming skills in Python, with experience in relevant libraries (e.g., PyMC, NumPy, pandas, scikit-learn). Experience in managing end-to-end model development, from data preparation to model deployment and performance monitoring. Excellent problem-solving skills and attention to detail. Strong communication and stakeholder management abilities. Preferred Qualifications: Experience with cloud-based data platforms (e.g., BigQuery, AWS, Azure). Familiarity with marketing platforms and digital attribution tools. Masters degree in Statistics, Economics, Data Science, Computer Science, or a related field.